A high performance linear current mode image sensor

Hsieh, Chih-Cheng; Chen, Wei-Yu; Wu, Chung-Yu

doi:10.1109/iscas.2009.5117995

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…1. The system integrated sixteen strip CISs [5], four image combiner and acquisition interfaces (ICAIs) [6], an I 2 C controller, two microprocessors and external memories to build a high-resolution multiple-aspect two-dimensional images. ICAI cooperated with microprocessors are proposed to calibrate gaps and overlaps in real-time.…”

Section: Sram (2 Mb)mentioning

confidence: 99%

High Definition Image Pre-Processing System for Multi-Stripe Satellites' Image Sensors

et al. 2012

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High-resolution image sensors play an important role in today's satellites' remote sensing applications. This paper presents an image recombination and processing system for one-dimensional multi-strip complementary metal-oxide semiconductor image sensors (CISs.) The proposed system takes advantage of the satellites' linear moving property to control the exposure time of CIS and provides the real-time ability to generate 11 200 × N high-resolution images for satellites' remote sensing. Using hardware accelerators coupled with versatile microprocessors, the architecture is able to offer processing capability as well as long-term maintainability for space-borne platforms. The details of hardware design to meet real-time requirement are presented. The prototype, which contains four strip CISs and field programmable gate array-based prototyping, was implemented to verify functionality and capability of real-time image acquisition and combination. The implementation results show that it is feasible to integrate the proposed system into a single chip.Index Terms-Complementary metal-oxide semiconductor (CMOS) image sensor, field programmable gate array (FPGA), microprocessor, remote sensing, space-borne platform.

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Section: Sram (2 Mb)mentioning

confidence: 99%

High Definition Image Pre-Processing System for Multi-Stripe Satellites' Image Sensors

et al. 2012

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“…4,6,7,8,9,10,11,12,13 Including the studies regarding what is called mixed-mode (voltage and current modes together) and purely current-mode, today there can be found a wide variety of sensors and readout circuits with better achievements in one or more of these figures of merit. 14,15,16,17,18,19,20 The sensor presented in this paper is a mixture of sensor modifications approach together with a new concept of readout. A matrix of CMOS pixels was designed to perform output signal amplification inside itself as if it was a very large MOS transistor.…”

Section: Introductionmentioning

confidence: 99%

Self-amplified CMOS image sensor using a current-mode readout circuit

2014

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The feature size of the CMOS processes decreased during the past few years and problems such as reduced dynamic range have become more significant in voltage-mode pixels, even though the integration of more functionality inside the pixel has become easier. This work makes a contribution on both sides: the possibility of a high signal excursion range using current-mode circuits together with functionality addition by making signal amplification inside the pixel. The classic 3T pixel architecture was rebuild with small modifications to integrate a transconductance amplifier providing a current as an output. The matrix with these new pixels will operate as a whole large transistor outsourcing an amplified current that will be used for signal processing. This current is controlled by the intensity of the light received by the matrix, modulated pixel by pixel. The output current can be controlled by the biasing circuits to achieve a very large range of output signal levels. It can also be controlled with the matrix size and this permits a very high degree of freedom on the signal level, observing the current densities inside the integrated circuit. In addition, the matrix can operate at very small integration times. Its applications would be those in which fast imaging processing, high signal amplification are required and low resolution is not a major problem, such as UV image sensors. Simulation results will be presented to support: operation, control, design, signal excursion levels and linearity for a matrix of pixels that was conceived using this new concept of sensor.

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“…The systems integrated 16 strip CMOS image sensors [9] , 4 ICAIs and a host computer to build a high-resolution multiple-aspect two-dimensional images. To form a high-resolution image, these stripe image sensors are arranged in an interleaved form to avoid the spatial discontinuous.…”

Section: Introductionmentioning

confidence: 99%

An image combiner and acquisition interface for space remote sensing applications

Chen

Chiueh

Tsai

et al. 2009

2009 52nd IEEE International Midwest Symposium on Circuits and Systems

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high resolution image combination and processing plays an important role in today's satellites' remote sensing applications. This paper presents an image recombination and processing circuitries (ICAI) for one-dimensional multi-strip CMOS image sensors. The proposed system take advantage of the satellites' linear moving property to control the expose time of CMOS image sensor and provides the realtime ability to continuous generate 12,000 × N high-resolution image for space remote sensing applications. The ICAI chip contains an image sensor control logics, image combiner, and host interface, one-dimensional pixel is combined to form a two-dimensional image by proposed circuitry. A prototype chip of ICAI was designed and fabricated with TSMC 0.18 μm CMOS 1P6M technology. The die size is 2.91 mm by 2.91 mm, and the power consumption is 20 mW operating at 8MHz under a 1.8 V supply voltage.I.

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A high performance linear current mode image sensor

Cited by 5 publications

References 8 publications

High Definition Image Pre-Processing System for Multi-Stripe Satellites' Image Sensors

High Definition Image Pre-Processing System for Multi-Stripe Satellites' Image Sensors

Self-amplified CMOS image sensor using a current-mode readout circuit

An image combiner and acquisition interface for space remote sensing applications

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